Savvas Velissaris

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Robot navigation is approached in this paper by using visual landmarks. T h e landmarks are not preselected o r otherwise defined a priori; rather, they are extracted automatically during a learning phase. To facilitate this, a saliency m a p is constructed which highlights potential landmarks. This is used in conjunction with a qualitative segregation of(More)
In this work, robot navigation is approached using visual landmarks. Landmarks are not preselected or otherwise defined a priori; they are extracted automatically during a learning phase. To facilitate this, a saliency map is constructed on the basis of which potential landmarks are highlighted. This is used in conjunction with a modeldriven segregation of(More)
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